Computer-implemented method for calibrating a control unit of a motor vehicle

The method addresses inefficiencies in calibrating motor vehicle control units by employing user-selected similarity-based parameter sets and trained data models, enabling rapid and efficient calibration through graphical and predictive architectures.

DE102024104517B3Active Publication Date: 2025-07-31DR ING H C F PORSCHE AG
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Patent Information

Application Number
DE102024104517
Authority / Receiving Office
DE · DE
Patent Type
Patents
Current Assignee / Owner
Filing Date
2024-02-19
Publication Date
2025-07-31
Estimated Expiration
2044-02-19

AI Technical Summary

Technical Problem

Existing methods for calibrating control units in motor vehicles are resource-intensive and inefficient, particularly in the context of using artificial intelligence for parameter calibration.

Method used

A method involving user input to select parameter sets based on similarity, utilizing a trained data model and predictive embedding architectures to efficiently calibrate control unit parameters, leveraging graphical representations and mathematical operators for comparison.

Benefits of technology

Facilitates rapid and efficient calibration of control unit parameters by utilizing pre-trained data models, reducing the effort required and enhancing the accuracy through similarity-based comparisons.

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Abstract

The invention relates to a computer-implemented method for calibrating a control unit (1) of a motor vehicle, comprising the following steps:- receiving a user input, wherein the user input comprises an indication of a first parameter set (10'''') of the control unit (1) to be calibrated;- comparing the first parameter set (10'''') with a plurality of second parameter sets (10; 10'; 10''; 10'''; 10'''; 10'''; 10''''') with regard to a similarity of the first parameter set (10'''') with one of the second parameter sets (10; 0'; 10''; 10'''; 10'''; 10'''''; 10'''''').,- selecting the parameter set from the second parameter sets (10; 10'; 10''; 10''; 10'''') for which the highest similarity to the first parameter set (10'''') was determined; and- calibrating the first parameter set (10'''') using a data model (11) that has been used to calibrate the selected parameter set (10), wherein the data model (11) is trained.
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Claims

[1] Computer-implemented method for calibrating a control unit (1) of a motor vehicle, comprising the following steps: - receiving a user input, wherein the user input comprises an indication of a first parameter set (10'''') of the control unit (1) to be calibrated; - comparing the first parameter set (10'''') with a plurality of second parameter sets (10; 10'; 10''; 10'''; 10''; 10'''''') with regard to a similarity of the first parameter set (10'''') with one of the second parameter sets (10; 10'; 10''; 10'''; 10'''''); - selecting the parameter set from the second parameter sets (10; 10'; 10''; 10'''; 10''''; 10'''''') for which the highest similarity to the first parameter set (10'''') was determined; and - Calibrating the first parameter set (10'''') using a data model (11) and a data set, wherein the data model (11) has been used to calibrate the selected parameter set (10), wherein the data model (11) is trained. [2] Method according to claim 1, characterized by that the user input comprises an indication of a plurality of parameter sets (10; 10'; 10''; 10'''; 10''''; 10'''''; 10'''''') to be calibrated, wherein the parameter sets (10; 10'; 10''; 10'''; 10''; 10'''''; 10'''''') comprise both the first and the second parameter sets. [3] Method according to one of the preceding claims, characterized by that the user input is received as a selection of graphically displayed components (2). [4] Method according to one of the preceding claims, characterized bythat the similarity is an optical similarity of the parameter sets (10; 10'; 10''; 10'''; 10''''; 10''''; 10''''''), wherein the optical similarity is compared using a graphical representation (6; 7; 18; 22; 23) of the respective parameter sets (10; 10'; 10''; 10'''; 10'''; 10'''''; 10''''''). [5] Method according to the preceding claim, characterized by that the comparison of the first parameter set (10'''') with the second parameter sets (10; 10'; 10''; 10'''; 10''''; 10''''') is carried out using a combined predictive embedding architecture (16). [6] Method according to one of the two preceding claims, characterized by that the similarity is determined on the basis of salient features (14; 15; 21) of the graphic representations (6; 7; 18; 22; 23). [7] Method according to one of the preceding claims, characterized by that the similarity is a scalar. [8] Method according to one of the preceding claims, characterized bythat the first parameter set (10'''') and the second parameter sets (10; 10'; 10''; 10'''; 10''''; 10''''') each comprise a functional logic. [9] Method according to one of the preceding claims, characterized by that the first parameter set (10'''') and the second parameter sets (10; 10'; 10''; 10'''; 10''''; 10''''') each comprise input and output parameters. [10] System comprising a digital electronic data memory and a digital electronic processing means, wherein instructions are stored in the data memory which are readable and executable by the processing means, wherein the instructions are designed to cause the processing means, upon execution of the instructions, to carry out a method according to one of the preceding claims.

Citation Information

Patent Citations

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    DE102009054900A1

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